Exploring Vulnerabilities Analyzing Malfunctions and Security Breaches in Electronic Voting Machines

International Journal of Emerging Research in Science, Engineering, and Management

Vol. 2, Issue 3, pp. 282–290, March 2026

https://doi.org/10.58482/ijersem.v2i3.36

This work is licensed under a Creative Commons Attribution 4.0 International License .

Exploring Vulnerabilities Analyzing Malfunctions and Security Breaches in Electronic Voting Machines

Sharad Kulkarni, Lavuluri Joshitha, Aluri Dheeraj Simha, Vemula Harini, Nelapalli Harsha Vardhan Reddy, Danduboena Ganesh

Department of ECE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract

The paper presents a secure and automated voting mechanism using multi-factor authentication. The system integrates a Raspberry Pi controller with biometric, RFID, and facial recognition verification to ensure the authenticity of each voter. A fingerprint sensor, an RFID reader with cards, and a USB web camera are used for voter identification, while push buttons are employed for vote casting. Only when all three authentication checks are successful is the voting process permitted; otherwise, a GSM module sends alerts regarding unauthorized access or duplicate voting attempts. Additionally, the system is IoT-enabled—all authenticated voting data, alerts, and system logs are automatically uploaded to the ThingSpeak cloud platform, enabling real-time monitoring, secure data storage, and remote analysis. This comprehensive approach enhances security, prevents fraudulent activities, and provides a reliable framework for trustworthy election processes.

Keywords: Electronic Voting Machine, Multi-Factor Authentication, Raspberry Pi, Biometric and RFID Verification, IoT-Based Monitoring.

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DOI: https://doi.org/10.58482/ijersem.v2i3.36

Open Access • Peer Reviewed Article

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This article is part of Volume 2, Issue 3 (March 2026)

2026-03-31